Determining the amount of 'green' coke generated when co‐processing lipids commercially by fluid catalytic cracking. (17th December 2021)

• Record Type: Journal Article
• Authors: Su, Jianping; Cao, Liang; Lee, Gary; Gopaluni, Bhushan; O'Connor, Don; van Dyk, Susan; Pinchuk, Robert; Saddler, Jack
• Is Part Of: Biofuels, bioproducts and biorefining. Volume 16:Number 2(2022)
• Page Start: 325
• Page End: 334
• Publication Date: 2021-12-17
• Subjects: FCC -- co‐processing lipids -- decarbonizing coke combustion -- bootstrap -- regression analyses; Biomass energy -- Periodicals; Biological products -- Periodicals; Fuel -- Refining -- Periodicals; 662.8805
• DOI: 10.1002/bbb.2325
• Languages: English
• ISSNs: 1932-104X

Abstract

Abstract: Co‐processing biogenic feedstocks in oil refineries will reduce the greenhouse gas emissions normally associated with fossil‐derived transportation fuels. The fluid catalytic cracker (FCC) within a refinery is a robust processing unit and will probably be a preferred insertion point if biocrudes, produced by the liquefaction of biomass, are co‐processed within a refinery. Fluid catalytic cracking results in a wide range of intermediate products which can be upgraded to gasoline, diesel, heavy fuel oil and liquified petroleum gas blendstocks. Coke is also produced and provides heating for feedstocks, the endothermic catalytic cracking reactions and the regeneration of the FCC catalyst. However, coke combustion also generates carbon dioxide and is a significant source of refinery greenhouse gas emissions. As detailed here, the continuous nature of the process makes the physical evaluation of any biogenic coke fraction, via methods such as C14 isotope analysis, quite challenging. However, quantifying the stack gases provides one way of assessing the renewable content of the carbon dioxide derived from coke combustion. The hourly data from 1 year of commercial operation was assessed using linear and Bayesian ridge regression to quantify the burning coefficient of the coke when co‐processing lipids at the FCC. When a bootstrap method was used to reduce the uncertainties of the coefficients, this allowed us to quantify the renewable (green) fraction of the coke component, indicating the reduction in carbon dioxide emissions when commercially co‐processing biogenic feedstocks. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd